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Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

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Unveils flaws in traditional statistical methods.

If numbers often boggle your mind but you're keen on making better, data-driven decisions, this book might just be your new best friend. It cracks open the complex world of statistics without drowning you in technical jargon, perfect for beginners and those who want to understand how modern statistical methods outdo the old. Plus, it's filled with real-world examples that make the math not just navigable, but genuinely interesting.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Just Arrived

Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

Regular price
Unit price
per
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ISBN: 9781441955241
Authors: Rand Wilcox
Publisher: Springer
Date of Publication: 2010-03-18
Format: Hardcover
Related Collections: Business, Economics, Science
Goodreads rating: 4.5
(rated by 2 readers)

Description

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size.
 

Unveils flaws in traditional statistical methods.

If numbers often boggle your mind but you're keen on making better, data-driven decisions, this book might just be your new best friend. It cracks open the complex world of statistics without drowning you in technical jargon, perfect for beginners and those who want to understand how modern statistical methods outdo the old. Plus, it's filled with real-world examples that make the math not just navigable, but genuinely interesting.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.